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<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Due to these changes without a new date string , we believe the date codes are used for campaign tracking rather than a Bookworm build identifier .' [/INST] [Due:O, to:O, these:O, changes:O, without:O, a:O, new:O, date:B-SamFile, string:I-SamFile, ,:O, we:O, believe:O, the:O, date:B-SamFile, codes:I-SamFile, are:O, used:O, for:O, campaign:B-Features, tracking:I-Features, rather:O, than:O, a:O, Bookworm:B-Tool, build:O, identifier:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In addition to built-in functionalities , the operators of Careto can upload additional modules which can perform any malicious task .' [/INST] [In:O, addition:O, to:O, built-in:O, functionalities:O, ,:O, the:O, operators:O, of:O, Careto:B-SamFile, can:O, upload:B-Features, additional:I-Features, modules:I-Features, which:O, can:O, perform:O, any:O, malicious:O, task:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The CONFUCIUS_B executable is disguised as a PowerPoint presentation , using a Right-To-Left-Override ( RTLO ) trick and a false icon .' [/INST] [The:O, CONFUCIUS_B:B-SamFile, executable:O, is:O, disguised:B-Features, as:I-Features, a:I-Features, PowerPoint:I-Features, presentation:I-Features, ,:O, using:B-Features, a:I-Features, Right-To-Left-Override:I-Features, (:O, RTLO:B-Tool, ):O, trick:O, and:O, a:O, false:B-Features, icon:I-Features, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Android version , for instance , can steal SMS messages , accounts , contacts , and files , as well as record audio .' [/INST] [The:O, Android:B-SamFile, version:I-SamFile, ,:O, for:O, instance:O, ,:O, can:O, steal:B-Features, SMS:I-Features, messages:I-Features, ,:O, accounts:B-Features, ,:O, contacts:B-Features, ,:O, and:O, files:B-Features, ,:O, as:O, well:O, as:O, record:B-Features, audio:I-Features, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'If a bot was installed on a network that was of interest to the hacking group , this bot was then used to upload one of the remote access programs .' [/INST] [If:O, a:O, bot:B-SamFile, was:O, installed:O, on:O, a:O, network:O, that:O, was:O, of:O, interest:O, to:O, the:O, hacking:O, group:O, ,:O, this:O, bot:O, was:O, then:O, used:O, to:O, upload:B-Features, one:I-Features, of:I-Features, the:I-Features, remote:I-Features, access:I-Features, programs:I-Features, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This document , written in Vietnamese , appears to be reviewing and discussing best practices for teaching and researching scientific topics .' [/INST] [This:O, document:B-SamFile, ,:O, written:O, in:O, Vietnamese:O, ,:O, appears:O, to:O, be:O, reviewing:B-Features, and:I-Features, discussing:I-Features, best:I-Features, practices:I-Features, for:O, teaching:O, and:O, researching:O, scientific:O, topics:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'There is the exploit code and malware used to gain access to systems , the infrastructure that provides command and control to the malware operator , and the human elements – developers who create the malware , operators who deploy it , and analysts who extract value from the stolen information .' [/INST] [There:O, is:O, the:O, exploit:B-SamFile, code:I-SamFile, and:O, malware:O, used:O, to:O, gain:B-Features, access:I-Features, to:I-Features, systems:I-Features, ,:O, the:O, infrastructure:O, that:O, provides:B-Features, command:I-Features, and:I-Features, control:I-Features, to:O, the:O, malware:O, operator:O, ,:O, and:O, the:O, human:O, elements:O, –:O, developers:O, who:O, create:O, the:O, malware:O, ,:O, operators:O, who:O, deploy:O, it:O, ,:O, and:O, analysts:O, who:O, extract:O, value:O, from:O, the:O, stolen:O, information:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This file requires the target to attempt to open the .lnk file , which redirects the user to a Windows Scripting Component ( .wsc ) file , hosted on an adversary-controlled microblogging page .' [/INST] [This:O, file:O, requires:O, the:O, target:O, to:O, attempt:O, to:O, open:O, the:O, .lnk:B-SamFile, file:I-SamFile, ,:O, which:O, redirects:B-Features, the:I-Features, user:I-Features, to:O, a:O, Windows:O, Scripting:O, Component:O, (:O, .wsc:O, ):O, file:O, ,:O, hosted:O, on:O, an:O, adversary-controlled:O, microblogging:O, page:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Upon successful exploitation , the attachment will install the trojan known as NetTraveler using a DLL side-loading attack technique .' [/INST] [Upon:O, successful:O, exploitation:O, ,:O, the:O, attachment:B-SamFile, will:O, install:B-Features, the:I-Features, trojan:I-Features, known:O, as:O, NetTraveler:B-Tool, using:O, a:O, DLL:B-SamFile, side-loading:I-SamFile, attack:O, technique:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The files exploit the well-known Microsoft Office vulnerability , CVE-2012-0158 , to execute malicious code in order to take control of the targeted systems .' [/INST] [The:O, files:B-SamFile, exploit:O, the:O, well-known:O, Microsoft:B-Exp, Office:I-Exp, vulnerability:I-Exp, ,:O, CVE-2012-0158:B-Exp, ,:O, to:O, execute:O, malicious:O, code:O, in:O, order:O, to:O, take:B-Features, control:I-Features, of:O, the:O, targeted:O, systems:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'wuaupdt.exe is a CMD backdoor , which can receive and execute CMD commands sent from C2 .' [/INST] [wuaupdt.exe:B-SamFile, is:O, a:O, CMD:B-Tool, backdoor:O, ,:O, which:O, can:O, receive:B-Features, and:O, execute:B-Features, CMD:I-Features, commands:I-Features, sent:O, from:O, C2:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'As described in the infection flow , one of the first uses of the AutoHotKey scripts is to upload a screenshot from the compromised PC .' [/INST] [As:O, described:O, in:O, the:O, infection:O, flow:O, ,:O, one:O, of:O, the:O, first:O, uses:O, of:O, the:O, AutoHotKey:B-SamFile, scripts:I-SamFile, is:O, to:O, upload:B-Features, a:I-Features, screenshot:I-Features, from:O, the:O, compromised:O, PC:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The RAT , however , had a multitude of functionalities (as listed in the table below) such as to download and execute , compress , encrypt , upload , search directories , etc .' [/INST] [The:O, RAT:B-SamFile, ,:O, however:O, ,:O, had:O, a:O, multitude:O, of:O, functionalities:O, (as:O, listed:O, in:O, the:O, table:O, below):O, such:O, as:O, to:O, download:B-Features, and:O, execute:B-Features, ,:O, compress:B-Features, ,:O, encrypt:B-Features, ,:O, upload:B-Features, ,:O, search:B-Features, directories:I-Features, ,:O, etc:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Bemstour is specifically designed to deliver a variant of the DoublePulsar backdoor .' [/INST] [Bemstour:B-SamFile, is:O, specifically:O, designed:O, to:O, deliver:B-Features, a:O, variant:O, of:O, the:O, DoublePulsar:B-Tool, backdoor:I-Tool, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'DoublePulsar is then used to inject a secondary payload , which runs in memory only .' [/INST] [DoublePulsar:B-SamFile, is:O, then:O, used:O, to:O, inject:B-Features, a:O, secondary:O, payload:O, ,:O, which:O, runs:O, in:O, memory:O, only:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The detection evasion techniques we observed in the Okrum malware include embedding the malicious payload within a legitimate PNG image , employing several anti-emulation and anti-sandbox tricks , as well as making frequent changes in implementation .' [/INST] [The:O, detection:O, evasion:O, techniques:O, we:O, observed:O, in:O, the:O, Okrum:B-SamFile, malware:O, include:O, embedding:B-Features, the:O, malicious:O, payload:O, within:O, a:O, legitimate:O, PNG:O, image:O, ,:O, employing:O, several:O, anti-emulation:O, and:O, anti-sandbox:O, tricks:O, ,:O, as:O, well:O, as:O, making:O, frequent:O, changes:O, in:O, implementation:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The diagram below illustrates how we believe the actors behind the Sea Turtle campaign used DNS hijacking to achieve their end goals .' [/INST] [The:O, diagram:O, below:O, illustrates:O, how:O, we:O, believe:O, the:O, actors:O, behind:O, the:O, Sea:B-SamFile, Turtle:I-SamFile, campaign:O, used:O, DNS:B-Features, hijacking:I-Features, to:O, achieve:O, their:O, end:O, goals:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'If the user enables macro to open the xlsm file , it will then drop the legitimate script engine AutoHotkey along with a malicious script file .' [/INST] [If:O, the:O, user:O, enables:O, macro:O, to:O, open:O, the:O, xlsm:B-Tool, file:I-Tool, ,:O, it:B-SamFile, will:O, then:O, drop:B-Features, the:I-Features, legitimate:I-Features, script:I-Features, engine:O, AutoHotkey:O, along:O, with:O, a:O, malicious:O, script:O, file:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Its configuration utilities like Margarita allows the NOC (Network Operation Center) to customize tools based on requirements from 'Fine Dining' questionairies .' [/INST] [Its:O, configuration:O, utilities:O, like:O, Margarita:B-SamFile, allows:O, the:O, NOC:O, (Network:O, Operation:O, Center):O, to:O, customize:O, tools:O, based:O, on:O, requirements:B-Features, from:O, 'Fine:O, Dining':O, questionairies:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Honeycomb toolserver receives exfiltrated information from the implant; an operator can also task the implant to execute jobs on the target computer , so the toolserver acts as a C2 (command and control) server for the implant .' [/INST] [Honeycomb:B-SamFile, toolserver:O, receives:O, exfiltrated:O, information:O, from:O, the:O, implant;:O, an:O, operator:O, can:O, also:O, task:O, the:O, implant:O, to:O, execute:O, jobs:O, on:O, the:O, target:O, computer:O, ,:O, so:O, the:O, toolserver:O, acts:B-Features, as:O, a:O, C2:O, (command:O, and:O, control):O, server:O, for:O, the:O, implant:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'UMBRAGE components cover keyloggers , password collection , webcam capture , data destruction , persistence , privilege escalation , stealth , anti-virus (PSP) avoidance and survey techniques .' [/INST] [UMBRAGE:B-SamFile, components:O, cover:B-Features, keyloggers:I-Features, ,:O, password:B-Features, collection:I-Features, ,:O, webcam:B-Features, capture:I-Features, ,:O, data:B-Features, destruction:I-Features, ,:O, persistence:B-Features, ,:O, privilege:B-Features, escalation:I-Features, ,:O, stealth:B-Features, ,:O, anti-virus:O, (PSP):O, avoidance:O, and:O, survey:B-Features, techniques:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: ''Improvise' is a toolset for configuration , post-processing , payload setup and execution vector selection for survey/exfiltration tools supporting all major operating systems like Windows (Bartender) , MacOS (JukeBox) and Linux (DanceFloor) .' [/INST] ['Improvise':B-SamFile, is:O, a:O, toolset:O, for:O, configuration:B-Features, ,:O, post-processing:B-Features, ,:O, payload:B-Features, setup:I-Features, and:O, execution:B-Features, vector:I-Features, selection:O, for:O, survey/exfiltration:O, tools:O, supporting:O, all:O, major:O, operating:O, systems:O, like:O, Windows:B-Way, (Bartender):O, ,:O, MacOS:B-Way, (JukeBox):O, and:O, Linux:B-Way, (DanceFloor):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This sample , similar to other Trochilus samples , was deployed using a DLL sideloading method utilizing three files , uploaded to the same folder on the victim machine as identified in US-CERT advisory TA17-117A last revised on December 20 , 2018 .' [/INST] [This:O, sample:B-SamFile, ,:O, similar:O, to:O, other:O, Trochilus:B-SamFile, samples:O, ,:O, was:O, deployed:O, using:O, a:O, DLL:B-Features, sideloading:I-Features, method:O, utilizing:O, three:O, files:O, ,:O, uploaded:B-Features, to:O, the:O, same:O, folder:O, on:O, the:O, victim:O, machine:O, as:O, identified:O, in:O, US-CERT:O, advisory:O, TA17-117A:O, last:O, revised:O, on:O, December:O, 20:O, ,:O, 2018:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The configuration file then loads the Trochilus payload into memory by injecting it into a valid system process .' [/INST] [The:O, configuration:B-SamFile, file:I-SamFile, then:O, loads:O, the:O, Trochilus:O, payload:O, into:O, memory:O, by:O, injecting:B-Features, it:O, into:O, a:O, valid:O, system:O, process:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Insikt Group analysis of network metadata to and from the VPN endpoint IPs revealed consistent connectivity to Citrix-hosted infrastructure from all eight VPN endpoint IPs starting on August 17 , 2018 — the same date the first authenticated login to Visma’s network was made using stolen credentials .' [/INST] [Insikt:B-HackOrg, Group:I-HackOrg, analysis:O, of:O, network:O, metadata:O, to:O, and:O, from:O, the:O, VPN:O, endpoint:O, IPs:O, revealed:O, consistent:O, connectivity:O, to:O, Citrix-hosted:B-SamFile, infrastructure:O, from:O, all:O, eight:O, VPN:B-Features, endpoint:I-Features, IPs:O, starting:O, on:O, August:B-Time, 17:I-Time, ,:O, 2018:O, —:O, the:O, same:O, date:O, the:O, first:O, authenticated:O, login:O, to:O, Visma’s:O, network:O, was:O, made:O, using:O, stolen:O, credentials:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This powerful backdoor can receive commands from the attackers , enabling it to exfiltrate files from the system it is running on , execute additional scripts , delete files , and more .' [/INST] [This:O, powerful:O, backdoor:B-SamFile, can:O, receive:O, commands:O, from:O, the:O, attackers:O, ,:O, enabling:O, it:O, to:O, exfiltrate:B-Features, files:I-Features, from:O, the:O, system:O, it:O, is:O, running:O, on:O, ,:O, execute:B-Features, additional:I-Features, scripts:I-Features, ,:O, delete:B-Features, files:I-Features, ,:O, and:O, more:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In addition , by using VBA2Graph , we were able to visualize the VBA call graph in the macros of each document .' [/INST] [In:O, addition:O, ,:O, by:O, using:O, VBA2Graph:B-SamFile, ,:O, we:O, were:O, able:O, to:O, visualize:O, the:O, VBA:O, call:B-Features, graph:I-Features, in:O, the:O, macros:O, of:O, each:O, document:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The JavaScript forces visiting web browsers to collect and send (via a POST request) web browser , browser version , country of origin , and IP address data to the attacker controlled server jquerycodedownload.live/check.aspx” .' [/INST] [The:O, JavaScript:B-SamFile, forces:B-Features, visiting:O, web:O, browsers:O, to:O, collect:B-Features, and:O, send:O, (via:O, a:O, POST:O, request):O, web:O, browser:O, ,:O, browser:O, version:O, ,:O, country:O, of:O, origin:O, ,:O, and:O, IP:O, address:O, data:O, to:O, the:O, attacker:O, controlled:O, server:O, jquerycodedownload.live/check.aspx”:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The group has repeatedly used social media , particularly LinkedIn , to identify and interact with employees at targeted organizations , and then used weaponized Excel documents to deliver RATs such as PupyRAT .' [/INST] [The:O, group:B-HackOrg, has:O, repeatedly:O, used:O, social:B-Idus, media:I-Idus, ,:O, particularly:O, LinkedIn:O, ,:O, to:O, identify:B-Purp, and:I-Purp, interact:I-Purp, with:I-Purp, employees:I-Purp, at:O, targeted:O, organizations:O, ,:O, and:O, then:O, used:O, weaponized:O, Excel:B-Way, documents:I-Way, to:O, deliver:O, RATs:B-Tool, such:O, as:O, PupyRAT:B-Tool, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CTU researchers conclude that COBALT GYPSY created the persona to gain unauthorized access to targeted computer networks via social engineering .' [/INST] [CTU:B-SecTeam, researchers:O, conclude:O, that:O, COBALT:B-HackOrg, GYPSY:I-HackOrg, created:O, the:O, persona:O, to:O, gain:O, unauthorized:O, access:O, to:O, targeted:O, computer:O, networks:O, via:O, social:B-Idus, engineering:I-Idus, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The persistent use of social media to identify and manipulate victims indicates that COBALT GYPSY successfully achieves its objectives using this tactic .' [/INST] [The:O, persistent:O, use:O, of:O, social:B-Idus, media:I-Idus, to:O, identify:O, and:O, manipulate:O, victims:O, indicates:O, that:O, COBALT:B-HackOrg, GYPSY:I-HackOrg, successfully:O, achieves:O, its:O, objectives:O, using:O, this:O, tactic:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'COBALT GYPSY 's continued social media use reinforces the importance of recurring social engineering training .' [/INST] [COBALT:B-HackOrg, GYPSY:I-HackOrg, 's:O, continued:O, social:B-Idus, media:I-Idus, use:O, reinforces:O, the:O, importance:O, of:O, recurring:O, social:B-Idus, engineering:I-Idus, training:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The report specifies the Magic Hound targeted political , military and defense industry in the US , UK and Israel .' [/INST] [The:O, report:O, specifies:O, the:O, Magic:O, Hound:O, targeted:O, political:B-Idus, ,:O, military:B-Idus, and:O, defense:B-Idus, industry:I-Idus, in:O, the:O, US:B-Area, ,:O, UK:B-Area, and:O, Israel:B-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'PwC UK and BAE Systems , working closely with industry and government , have uncovered a new , unparallelled campaign which we refer to as Operation Cloud Hopper .' [/INST] [PwC:B-SecTeam, UK:I-SecTeam, and:O, BAE:B-SecTeam, Systems:I-SecTeam, ,:O, working:O, closely:O, with:O, industry:B-Idus, and:O, government:B-Idus, ,:O, have:O, uncovered:O, a:O, new:O, ,:O, unparallelled:O, campaign:B-OffAct, which:O, we:O, refer:O, to:O, as:O, Operation:B-OffAct, Cloud:I-OffAct, Hopper:I-OffAct, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'By targeting high-tech and manufacturing operations in Japan and Taiwan , DragonOK may be acquiring trade secrets for a competitive economic advantage .' [/INST] [By:O, targeting:O, high-tech:B-Idus, and:O, manufacturing:B-Idus, operations:O, in:O, Japan:B-Area, and:O, Taiwan:B-Area, ,:O, DragonOK:B-HackOrg, may:O, be:O, acquiring:B-Purp, trade:I-Purp, secrets:I-Purp, for:O, a:O, competitive:O, economic:B-Idus, advantage:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Targeted sectors of Molerats include governmental and diplomatic institutions , including embassies ; companies from the aerospace and defence Industries ; financial institutions ; journalists ; software developers .' [/INST] [Targeted:O, sectors:O, of:O, Molerats:B-HackOrg, include:O, governmental:B-Org, and:O, diplomatic:I-Org, institutions:I-Org, ,:O, including:O, embassies:B-Org, ;:O, companies:O, from:O, the:O, aerospace:B-Idus, and:O, defence:B-Idus, Industries:I-Idus, ;:O, financial:B-Org, institutions:I-Org, ;:O, journalists:B-Org, ;:O, software:B-Org, developers:I-Org, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'FIN7 is a threat actor group that is financially motivated with targets in the restaurant , services and financial sectors .' [/INST] [FIN7:B-HackOrg, is:O, a:O, threat:B-HackOrg, actor:I-HackOrg, group:I-HackOrg, that:O, is:O, financially:B-Purp, motivated:I-Purp, with:O, targets:O, in:O, the:O, restaurant:B-Idus, ,:O, services:B-Idus, and:O, financial:B-Org, sectors:I-Org, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Over the past year , we've seen the group extensively targeting a wide gamut of entities in various sectors , including Governments , Academy , Crypto-Currency , Telecommunications and the Oil sectors .' [/INST] [Over:O, the:O, past:O, year:O, ,:O, we've:O, seen:O, the:O, group:B-HackOrg, extensively:O, targeting:O, a:O, wide:O, gamut:O, of:O, entities:O, in:O, various:O, sectors:O, ,:O, including:O, Governments:B-Idus, ,:O, Academy:B-Idus, ,:O, Crypto-Currency:B-Idus, ,:O, Telecommunications:B-Idus, and:O, the:O, Oil:B-Org, sectors:I-Org, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The group has focused mainly on governmental targets in Iraq and Saudi Arabia , according to past telemetry .' [/INST] [The:O, group:B-HackOrg, has:O, focused:O, mainly:O, on:O, governmental:B-Idus, targets:O, in:O, Iraq:B-Area, and:O, Saudi:B-Area, Arabia:I-Area, ,:O, according:O, to:O, past:O, telemetry:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The new spear-phishing docs used by MuddyWater rely on social engineering to persuade users to enable macros .' [/INST] [The:O, new:O, spear-phishing:B-Way, docs:O, used:O, by:O, MuddyWater:B-HackOrg, rely:O, on:O, social:B-Idus, engineering:I-Idus, to:O, persuade:O, users:O, to:O, enable:O, macros:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Given the use of lure documents designed with social engineering in mind , it is likely that MuddyWater use phishing or spam to target users who are unaware of these documents ' malicious nature .' [/INST] [Given:O, the:O, use:O, of:O, lure:O, documents:O, designed:O, with:O, social:B-Idus, engineering:I-Idus, in:O, mind:O, ,:O, it:O, is:O, likely:O, that:O, MuddyWater:B-HackOrg, use:O, phishing:B-Way, or:O, spam:B-Way, to:O, target:O, users:O, who:O, are:O, unaware:O, of:O, these:O, documents:O, ':O, malicious:O, nature:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The oil and gas infrastructure nexus observed in connection with greensky27.vicp.net and other Unit 78020 ( Naikon ) infrastructure suggests targeting patterns supportive of the PRC 's strategic interests over energy resources within the South China Sea and Southeast Asia .' [/INST] [The:O, oil:B-Idus, and:I-Idus, gas:I-Idus, infrastructure:O, nexus:O, observed:O, in:O, connection:O, with:O, greensky27.vicp.net:O, and:O, other:O, Unit:O, 78020:O, (:O, Naikon:B-HackOrg, ):O, infrastructure:O, suggests:O, targeting:O, patterns:O, supportive:O, of:O, the:O, PRC:B-Area, 's:O, strategic:O, interests:O, over:O, energy:B-Idus, resources:I-Idus, within:O, the:O, South:B-Area, China:I-Area, Sea:I-Area, and:O, Southeast:B-Area, Asia:I-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'These attacks have involved social engineering , spearphishing attacks , exploitation of Microsoft Windows operating systems vulnerabilities , Microsoft Active Directory compromises , and the use of remote administration tools ( RATs ) in targeting and harvesting sensitive competitive proprietary operations and project-financing information with regard to oil and gas field bids and operations .' [/INST] [These:O, attacks:B-OffAct, have:O, involved:O, social:B-Idus, engineering:I-Idus, ,:O, spearphishing:B-OffAct, attacks:I-OffAct, ,:O, exploitation:O, of:O, Microsoft:O, Windows:O, operating:O, systems:O, vulnerabilities:O, ,:O, Microsoft:O, Active:O, Directory:O, compromises:O, ,:O, and:O, the:O, use:O, of:O, remote:B-Tool, administration:I-Tool, tools:I-Tool, (:O, RATs:B-Tool, ):O, in:O, targeting:O, and:O, harvesting:O, sensitive:O, competitive:O, proprietary:O, operations:O, and:O, project-financing:O, information:O, with:O, regard:O, to:O, oil:B-Idus, and:I-Idus, gas:I-Idus, field:O, bids:O, and:O, operations:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Night Dragon 's attacks have involved social engineering , spearphishing attacks , exploitation of Microsoft Windows operating systems vulnerabilities , Microsoft Active Directory compromises , and the use of remote administration tools ( RATs ) in targeting and harvesting sensitive competitive proprietary operations and project-financing information with regard to oil and gas field bids and operations .' [/INST] [Night:B-HackOrg, Dragon:I-HackOrg, 's:O, attacks:B-OffAct, have:O, involved:O, social:B-Idus, engineering:I-Idus, ,:O, spearphishing:B-OffAct, attacks:I-OffAct, ,:O, exploitation:O, of:O, Microsoft:O, Windows:O, operating:O, systems:O, vulnerabilities:O, ,:O, Microsoft:O, Active:O, Directory:O, compromises:O, ,:O, and:O, the:O, use:O, of:O, remote:B-Tool, administration:I-Tool, tools:I-Tool, (:O, RATs:B-Tool, ):O, in:O, targeting:O, and:O, harvesting:O, sensitive:O, competitive:O, proprietary:O, operations:O, and:O, project-financing:O, information:O, with:O, regard:O, to:O, oil:B-Idus, and:I-Idus, gas:I-Idus, field:O, bids:O, and:O, operations:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'It appears that the group values hardcoded into the malware is associated with the targeted organization , as several are Saudi Arabian organizations within the telecommunications and defense industries .' [/INST] [It:O, appears:O, that:O, the:O, group:B-HackOrg, values:O, hardcoded:O, into:O, the:O, malware:O, is:O, associated:O, with:O, the:O, targeted:O, organization:O, ,:O, as:O, several:O, are:O, Saudi:B-Area, Arabian:I-Area, organizations:O, within:O, the:O, telecommunications:B-Idus, and:O, defense:B-Idus, industries:I-Idus, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Should a user enable this content , the attackers are then able to use the DDE protocol to remotely execute commands in memory on the victim 's system .' [/INST] [Should:O, a:O, user:O, enable:O, this:O, content:O, ,:O, the:O, attackers:B-HackOrg, are:O, then:O, able:O, to:O, use:O, the:O, DDE:B-Tool, protocol:I-Tool, to:O, remotely:B-Way, execute:I-Way, commands:I-Way, in:O, memory:O, on:O, the:O, victim:O, 's:O, system:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'These VNC exectuables would either be included in the SFX file or downloaded by the batch script .' [/INST] [These:O, VNC:B-Tool, exectuables:O, would:O, either:O, be:O, included:O, in:O, the:O, SFX:B-Way, file:I-Way, or:O, downloaded:O, by:O, the:O, batch:B-Way, script:I-Way, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Our investigation revealed an attack where the GCMAN group then planted a cron script into bank 's server , sending financial transactions at the rate of $200 per minute .' [/INST] [Our:O, investigation:O, revealed:O, an:O, attack:B-OffAct, where:O, the:O, GCMAN:B-HackOrg, group:I-HackOrg, then:O, planted:O, a:O, cron:B-Way, script:I-Way, into:O, bank:B-Idus, 's:O, server:O, ,:O, sending:O, financial:O, transactions:O, at:O, the:O, rate:O, of:O, $200:O, per:O, minute:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The GCMAN group used an MS SQL injection in commercial software running on one of bank 's public web services , and about a year and a half later , they came back to cash out .' [/INST] [The:O, GCMAN:B-HackOrg, group:I-HackOrg, used:O, an:O, MS:B-Way, SQL:I-Way, injection:I-Way, in:O, commercial:O, software:O, running:O, on:O, one:O, of:O, bank:B-Idus, 's:O, public:O, web:O, services:O, ,:O, and:O, about:O, a:O, year:O, and:O, a:O, half:O, later:O, ,:O, they:O, came:O, back:O, to:O, cash:O, out:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Gorgon Group used common URL shortening services to download payloads .' [/INST] [Gorgon:B-HackOrg, Group:I-HackOrg, used:O, common:O, URL:B-Way, shortening:I-Way, services:I-Way, to:O, download:O, payloads:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Gorgon used numerous decoy documents and phishing emails , both styles of attacks lacked overall sophistication .' [/INST] [Gorgon:B-HackOrg, used:O, numerous:O, decoy:B-Way, documents:I-Way, and:O, phishing:B-Way, emails:I-Way, ,:O, both:O, styles:O, of:O, attacks:B-OffAct, lacked:O, overall:O, sophistication:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This Gorgon Group campaign leveraged spear phishing emails with Microsoft Word documents exploiting CVE-2017-0199 .' [/INST] [This:O, Gorgon:B-OffAct, Group:I-OffAct, campaign:I-OffAct, leveraged:O, spear:B-Way, phishing:I-Way, emails:I-Way, with:O, Microsoft:B-SamFile, Word:I-SamFile, documents:I-SamFile, exploiting:O, CVE-2017-0199:B-Exp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This malicious document contains a Visual Basic macro that dropped and executed an upgraded version of the implant known as SYSCON , which appeared in 2017 in malicious Word documents as part of several campaigns using North Korea–related topics .' [/INST] [This:O, malicious:O, document:O, contains:O, a:O, Visual:B-Way, Basic:I-Way, macro:I-Way, that:O, dropped:O, and:O, executed:O, an:O, upgraded:O, version:O, of:O, the:O, implant:O, known:O, as:O, SYSCON:B-Tool, ,:O, which:O, appeared:O, in:O, 2017:B-Time, in:O, malicious:B-SamFile, Word:I-SamFile, documents:I-SamFile, as:O, part:O, of:O, several:O, campaigns:B-OffAct, using:O, North:B-Area, Korea–related:O, topics:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'All contain the same Visual Basic macro code and author name as Honeybee .' [/INST] [All:O, contain:O, the:O, same:O, Visual:B-Way, Basic:I-Way, macro:I-Way, code:I-Way, and:O, author:O, name:O, as:O, Honeybee:B-HackOrg, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Ke3chang attackers have used spear-phishing emails .' [/INST] [Ke3chang:B-HackOrg, attackers:B-HackOrg, have:O, used:O, spear-phishing:B-Way, emails:I-Way, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Traditionally , the Ke3chang attackers have used spear-phishing emails with either a malware attachment or a link to a malicious download .' [/INST] [Traditionally:O, ,:O, the:O, Ke3chang:B-HackOrg, attackers:B-HackOrg, have:O, used:O, spear-phishing:B-Way, emails:I-Way, with:O, either:O, a:O, malware:O, attachment:O, or:O, a:O, link:O, to:O, a:O, malicious:O, download:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'DLL hijacking techniques have been seen in the past with the APT15 group .' [/INST] [DLL:B-Way, hijacking:I-Way, techniques:I-Way, have:O, been:O, seen:O, in:O, the:O, past:O, with:O, the:O, APT15:B-HackOrg, group:I-HackOrg, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This new campaign , dubbed HaoBao , resumes Lazarus ' previous phishing emails , posed as employee recruitment , but now targets Bitcoin users and global financial organizations .' [/INST] [This:O, new:O, campaign:B-OffAct, ,:O, dubbed:O, HaoBao:B-OffAct, ,:O, resumes:O, Lazarus:B-HackOrg, ':O, previous:O, phishing:B-Way, emails:I-Way, ,:O, posed:O, as:O, employee:O, recruitment:O, ,:O, but:O, now:O, targets:O, Bitcoin:B-Org, users:I-Org, and:O, global:O, financial:B-Org, organizations:I-Org, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This new campaign , dubbed HaoBao , resumes Lazarus ' previous phishing emails , posed as employee recruitment , but now targets financial organizations .' [/INST] [This:O, new:O, campaign:B-OffAct, ,:O, dubbed:O, HaoBao:B-OffAct, ,:O, resumes:O, Lazarus:B-HackOrg, ':O, previous:O, phishing:B-Way, emails:I-Way, ,:O, posed:O, as:O, employee:O, recruitment:O, ,:O, but:O, now:O, targets:O, financial:B-Org, organizations:I-Org, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Beginning in 2017 , the Lazarus group heavily targeted individuals with spear phishing emails impersonating job recruiters which contained malicious documents .' [/INST] [Beginning:O, in:O, 2017:B-Time, ,:O, the:O, Lazarus:B-HackOrg, group:I-HackOrg, heavily:O, targeted:O, individuals:O, with:O, spear:B-Way, phishing:I-Way, emails:I-Way, impersonating:O, job:B-Org, recruiters:I-Org, which:O, contained:O, malicious:O, documents:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Therefore , it is possible that additional HIDDEN COBRA malware may be present on network infrastructure compromised with Volgmer .' [/INST] [Therefore:O, ,:O, it:O, is:O, possible:O, that:O, additional:O, HIDDEN:B-Tool, COBRA:I-Tool, malware:I-Tool, may:O, be:O, present:O, on:O, network:B-Way, infrastructure:I-Way, compromised:O, with:O, Volgmer:B-Tool, .:O] </s> |